Skip navigation
Skip navigation

Learning robust pulses for generating universal quantum gates

Dong, Daoyi; Wu, Chengzhi; Chen, Chunlin; Qi, Bo; Petersen, Ian; Nori, Franco

Description

Constructing a set of universal quantum gates is a fundamental task for quantum computation. The existence of noises, disturbances and fluctuations is unavoidable during the process of implementing quantum gates for most practical quantum systems. This paper employs a sampling-based learning method to find robust control pulses for generating a set of universal quantum gates. Numerical results show that the learned robust control fields are insensitive to disturbances, uncertainties and...[Show more]

dc.contributor.authorDong, Daoyi
dc.contributor.authorWu, Chengzhi
dc.contributor.authorChen, Chunlin
dc.contributor.authorQi, Bo
dc.contributor.authorPetersen, Ian
dc.contributor.authorNori, Franco
dc.date.accessioned2018-11-29T22:56:57Z
dc.date.available2018-11-29T22:56:57Z
dc.identifier.issn2045-2322
dc.identifier.urihttp://hdl.handle.net/1885/153682
dc.description.abstractConstructing a set of universal quantum gates is a fundamental task for quantum computation. The existence of noises, disturbances and fluctuations is unavoidable during the process of implementing quantum gates for most practical quantum systems. This paper employs a sampling-based learning method to find robust control pulses for generating a set of universal quantum gates. Numerical results show that the learned robust control fields are insensitive to disturbances, uncertainties and fluctuations during the process of realizing universal quantum gates.
dc.format.mimetypeapplication/pdf
dc.publisherNature Publishing Group
dc.sourceScientific Reports
dc.titleLearning robust pulses for generating universal quantum gates
dc.typeJournal article
local.description.notesImported from ARIES
local.identifier.citationvolume6
dc.date.issued2016
local.identifier.absfor090602 - Control Systems, Robotics and Automation
local.identifier.ariespublicationu5357342xPUB315
local.type.statusPublished Version
local.contributor.affiliationDong, Daoyi, University of New South Wales
local.contributor.affiliationWu, Chengzhi, Nanjng University
local.contributor.affiliationChen, Chunlin, Nanjng University
local.contributor.affiliationQi, Bo, Chinese Academy of Sciences
local.contributor.affiliationPetersen, Ian, College of Engineering and Computer Science, ANU
local.contributor.affiliationNori, Franco, University of Michigan
local.bibliographicCitation.issue36090
local.identifier.doi10.1038/srep36090
local.identifier.absseo970109 - Expanding Knowledge in Engineering
dc.date.updated2018-11-29T08:14:42Z
local.identifier.scopusID2-s2.0-84992603323
local.identifier.thomsonID000386471900001
dcterms.accessRightsOpen Access
CollectionsANU Research Publications

Download

File Description SizeFormat Image
01_Dong_Learning_robust_pulses_for_2016.pdf742.88 kBAdobe PDFThumbnail


Items in Open Research are protected by copyright, with all rights reserved, unless otherwise indicated.

Updated:  17 November 2022/ Responsible Officer:  University Librarian/ Page Contact:  Library Systems & Web Coordinator